Series-2 (Mar. - Apr. 2026)Mar. - Apr. 2026 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Intelligent Traffic Light Control System Using RFID And Infrared Technology |
| Country | : | Nigeria |
| Authors | : | Nurudeen Muhammad Bala || usabi Mohammed Shitta || Buhari Mohammed Abubakar || Umar Ahmadu Ardo || Abubakar Yusuf Abubakar || Suleiman Shahida Wambai || Muhammad Babayo Abdullahi |
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: | 10.9790/2834-2102020109  |
Abstract: Traffic congestion is a major challenge in rapidly growing urban areas, particularly in developing countries like Nigeria. This study proposes an Intelligent Traffic Light Control System (ITLCS) that integrates infrared sensors and RFID technology to improve intersection management. The system detects real-time traffic density and dynamically adjusts signal timings, while RFID enables priority for emergency vehicles. Experimental results show significant......
[1].
Abdulhai, B., Pringle, R., & Karakoulas, G. J. (2022). Reinforcement Learning For True Adaptive Traffic Signal Control. Transportation Research Part C: Emerging Technologies, 135, 103487. Https://Doi.Org/10.1016/J.Trc.2021.103487
[2].
Aderamo, A. J., & Atomode, T. I. (2023). Urban Transportation Challenges In Nigeria: Implications For Traffic Congestion Management. Journal Of Transport Geography, 110, 103615[3].
Al-Turjman, F., & Lemayian, J. P. (2022). Smart Cities And Iot Traffic Systems. Future Generation Computer Systems, 128, 250–261. Https://Doi.Org/10.1016/J.Future.2021.09.015
[4].
Archive Market Research. (2024). Global Traffic Congestion Analysis Report. Archive Market Research.
[5].
Ayoubi, S., Möller, S., & Dahlhaus, D. (2024). Deep Learning-Based Vehicle Detection Using Computer Vision Techniques. IEEE Transactions On Intelligent Transportation Systems, 25(2), 1456–1468.
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| Paper Type | : | Research Paper |
| Title | : | Design And Analysis Of Energy Efficient Approximate Multipliers For Image Processing Using Verilog HDL Programming |
| Country | : | |
| Authors | : | Vaddi. Rajkumar || Alikani Vijaya Durga |
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: | 10.9790/2834-2102021017 |
Abstract: Numerous obstacles in enhancing the performance of computing systems have spurred the emergence of approximate computing. Extensive studies have been reported on approximate computing to develop high-performance, energy-efficient hardware designs tailored to error-resilient applications. In this brief, we proposed 8-bit approximate multipliers with 15 levels of accuracy using three techniques: recursive, bit-wise, and hybrid approximation using partial bit OR (PBO). Compared to the existing multipliers, investigated designs have.....
Key Words: Numerical Weather Prediction (NWP), Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Long Short-Term Memory (LSTM), NOAA, NASA.
[1]
M. H. Haider And S.-B. Ko, “Booth Encoding-Based Energy Efficient Multipliers For Deep Learning Systems,” Ieee Trans. Circuits Syst. Ii, Exp. Briefs, Vol. 70, No. 6, Pp. 2241–2245, Jun. 2023.
[2]
W. Liu, F. Lombardi, And M. Shulte, “A Retrospective And Prospective View Of Approximate Computing [Point Of View,” Proc. Ieee, Vol. 108, No. 3, Pp. 394–399, Mar. 2020.
[3]
N. Amirafshar, A. S. Baroughi, H. S. Shahhoseini, And N. Taherinejad, “Carry Disregard Approximate Multipliers,” Ieee Trans. Circuits Syst. I, Reg. Papers, Vol. 70, No. 12, Pp. 4840– 4853, Dec. 2023.
[4]
B. K. Mohanty, “Efficient Approximate Multiplier Design Based On Hybrid Higher Radix Booth Encoding,” Ieee J. Emerg. Sel. Topics Circuits Syst., Vol. 13, No. 1, Pp. 165–174, Mar. 2023.
[5]
H. Waris, C. Wang, C. Xu, And W. Liu, “Axrms: Approximate Recursive Multipliers Using High-Performance Building Blocks,” Ieee Trans. Emerg. Topics Comput., Vol. 10, No. 2, Pp. 1229–1235, Apr. 2022